Paper Abstract and Keywords |
Presentation |
2021-03-04 10:55
An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section Koshi Shimada, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) IT2020-115 ISEC2020-45 WBS2020-34 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we present an efficient coding algorithm for a non-stationary source based on context tree models that very from section to section. The context tree model is the extension of Markov models, and it represents a wide source model class that each symbol's generation depends on past sequences. The source model we present is an extension of context tree models. The calculation of the Bayes codes for it needs weighted mean over all context tree models and all changing patterns of the models; hence, we provide an approach of reducing the amount of the calculation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Data compression / Universal source coding / Bayes codes / Context tree models / Non-stationary source / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 410, IT2020-115, pp. 19-24, March 2021. |
Paper # |
IT2020-115 |
Date of Issue |
2021-02-25 (IT, ISEC, WBS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IT2020-115 ISEC2020-45 WBS2020-34 |
Conference Information |
Committee |
WBS IT ISEC |
Conference Date |
2021-03-04 - 2021-03-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Joint Meeting of WBS, IT, and ISEC |
Paper Information |
Registration To |
IT |
Conference Code |
2021-03-WBS-IT-ISEC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Efficient Bayes Coding Algorithm for the Source Based on Context Tree Models that Vary from Section to Section |
Sub Title (in English) |
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Keyword(1) |
Data compression |
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Universal source coding |
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Bayes codes |
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Context tree models |
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Non-stationary source |
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1st Author's Name |
Koshi Shimada |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
2nd Author's Name |
Shota Saito |
2nd Author's Affiliation |
Waseda University (Waseda Univ.) |
3rd Author's Name |
Toshiyasu Matsushima |
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Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-03-04 10:55:00 |
Presentation Time |
25 minutes |
Registration for |
IT |
Paper # |
IT2020-115, ISEC2020-45, WBS2020-34 |
Volume (vol) |
vol.120 |
Number (no) |
no.410(IT), no.411(ISEC), no.412(WBS) |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2021-02-25 (IT, ISEC, WBS) |
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